Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Pulit, Sara L. and Stoneman, Charli and Morris, Andrew P. and Wood, AndrewR. and Glastonbury, Craig A. and Tyrrell, Jessica and Yengo, Loic and Ferreira, Teresa and Marouli, Eirini and Ji, Yingjie and Yang, Jian and Jones, Samuel and Beaumont, Robin and Croteau-Chonka, Damien C. and Winkler, Thomas W. and Hattersley, Andrew T. and Loos, Ruth J. F. and Hirschhorn, Joel N. and Visscher, Peter M. and Frayling, Timothy M. and Yaghootkar, Hanieh and Lindgren, Cecilia M. (2019) Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. HUMAN MOLECULAR GENETICS, 28 (1). pp. 166-174. ISSN 0964-6906, 1460-2083

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Abstract

More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.

Item Type: Article
Uncontrolled Keywords: MASS INDEX; HIP RATIO; OBESITY; BIAS; ADIPOSITY; RISK; LINK;
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 27 Apr 2020 11:31
Last Modified: 27 Apr 2020 11:31
URI: https://pred.uni-regensburg.de/id/eprint/27840

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